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Abstract #4397

Characterization of autocalibration methods for accelerated EPI reconstructions using GRAPPA

Jonathan Rizzo Polimeni 1 , Kawin Setsompop 1 , and W. Scott Hoge 2

1 Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, United States, 2 Department of Radiology, Brigham and Womens Hospital and Harvard Medical School, Boston, MA, United States

It has been recently demonstrated that phase errors across segments of multi-shot EPI data used for GRAPPA calibration can have a dramatic impact on image quality, causing severe SNR loss and ghosting/aliasing artifacts. Here we characterize several proposed calibration methods in terms of artifact level and tSNR to determine to what extent calibration data should match image data. We find that the ideal calibration data must match the accelerated EPI data in terms of phase errors and geometric distortion to provide high quality GRAPPA reconstructions. Target audience: Clinicians/researchers using accelerated echo planar imaging, especially in high-field or high-resolution applications.

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